PYTHON . LANGCHAIN . COM {
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Title:
ChatBedrock | ๐ฆ๏ธ๐ LangChain
Description:
This doc will help you get started with AWS Bedrock chat models. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don
Website Age:
5 years and 7 months (reg. 2019-12-03).
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Website use Docusaurus v3.5.2.
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๐ฅ Very Strong Traffic: 200k - 500k visitors per month
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How Does Python.langchain.com Make Money? {๐ธ}
We can't tell how the site generates income.
The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Python.langchain.com has a secret sauce for making money, but we can't detect it yet.
Keywords {๐}
api, bedrock, text, models, additionalkwargs, chatbedrockconverse, model, content, aws, langchainaws, idrundeecdcaddacfebd, prompt, langchain, reference, chat, features, package, input, key, contenttype, cachecreation, cacheread, responsemetadata, caching, chatbedrock, amazon, head, integration, streaming, import, programmation, set, data, support, detailed, documentation, configurations, usage, setup, access, credentials, llm, invocation, messages, llminvokemessages, endturn, latencyms, modelname, anthropicclaudesonnetv, usagemetadatainputtokens,
Topics {โ๏ธ}
0'} id='run-d0e0836e-7146-4c3d-97c7-ad23dac6febd' usage_metadata={'input_tokens' id='run-d09ed928-146a-4336-b1fd-b63c9e623494-0' id='run-7021fcd7-704e-496b-a92e-210139614402-0' 'b07d1630-06f2-44b1-82bf-e82538dd2215' 'b07d1630-06f2-44b1-82bf-e82538dd2215'} /langchain-ai/langchain/master/readme langchain-aws integration package js support high-performing foundation models '1de3d7c0-8062-4f7e-bb8a-8f725b97a8b0' '1de3d7c0-8062-4f7e-bb8a-8f725b97a8b0'} /api_reference/aws/chat_models/langchain_aws installation 1528} chaining access key id token-level streaming generate chat completions model features credentialsโ head integrations api reference j'adore la programmation enable caching langchain-aws package response_metadata={'responsemetadata' 'content-type' credentials access bedrock models support custom models bedrock features chatbedrockconverse features streamingโ note ๏ฟฝ๏ฟฝ setup setup //python bedrock api service langsmith api key leading ai companies aws bedrock maintains chatbedrock features fully managed service retrieval augmented generation unified conversational interface claude-3-5-sonnet-20240620-v1 claude-3-7-sonnet-20250219-v1 additional_kwargs={} api reference prompt template model access building ambient agents enable automated tracing
Questions {โ}
- Text": "What's LangChain, according to its README?
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